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- aggregation classification "P1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2009".
- aggregation format "application/pdf".
- aggregation hasFormat 1005890.bibtex.
- aggregation hasFormat 1005890.csv.
- aggregation hasFormat 1005890.dc.
- aggregation hasFormat 1005890.didl.
- aggregation hasFormat 1005890.doc.
- aggregation hasFormat 1005890.json.
- aggregation hasFormat 1005890.mets.
- aggregation hasFormat 1005890.mods.
- aggregation hasFormat 1005890.rdf.
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- aggregation hasFormat 1005890.txt.
- aggregation hasFormat 1005890.xls.
- aggregation hasFormat 1005890.yaml.
- aggregation isPartOf urn:isbn:9780819474988.
- aggregation isPartOf urn:issn:0277-786X.
- aggregation language "eng".
- aggregation publisher "SPIE, the International Society for Optical Engineering".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Locally adaptive complex wavelet-based demosaicing for color filter array images".
- aggregation abstract "A new approach for wavelet-based demosaicing of color filter array (CFA) images is presented. It is observed that conventional wavelet-based demosaicing results in demosaicing artifacts in high spatial frequency regions of the image. By proposing a framework of locally adaptive demosaicing in the wavelet domain, the presented method proposes computationally simple techniques to avoid these artifacts. In order to reduce computation time and memory requirements even more, we propose the use of the dual tree complex wavelet transform. The results show that wavelet-based demosaicing, using the proposed locally adaptive framework, is visually comparable with state-of-the-art pixel based demosaicing. This result is very promising when considering a low complexity wavelet-based demosaicing and denoising approach.".
- aggregation authorList BK119689.
- aggregation volume "7248".
- aggregation aggregates 1005900.
- aggregation isDescribedBy 1005890.
- aggregation similarTo 12.807347.
- aggregation similarTo LU-1005890.